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» Modelling Learning Subjects as Relationships
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WSC
1998
15 years 6 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
DAC
2006
ACM
15 years 11 months ago
Mining global constraints for improving bounded sequential equivalence checking
In this paper, we propose a novel technique on mining relationships in a sequential circuit to discover global constraints. In contrast to the traditional learning methods, our mi...
Weixin Wu, Michael S. Hsiao
ATAL
2003
Springer
15 years 10 months ago
An overview of coaching with limitations
As agent relationships become more complex, one challenging relationship that merits study is that of coach or adviser to another agent. Our research on coaching refers to one aut...
Patrick Riley, Manuela M. Veloso
CIKM
2006
Springer
15 years 9 months ago
Measuring the meaning in time series clustering of text search queries
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
SIAMDM
2010
117views more  SIAMDM 2010»
15 years 3 months ago
Design is as Easy as Optimization
We consider the class of max-min and min-max optimization problems subject to a global budget (or weight) constraint and we undertake a systematic algorithmic and complexitytheore...
Deeparnab Chakrabarty, Aranyak Mehta, Vijay V. Vaz...